TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers

5 July 2023

Papers citing "TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers"

5 / 5 papers shown

Title
Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions Qianying Cao Shanqing Liu Alan John Varghese Jérome Darbon M. Triantafyllou George Karniadakis AI4TS 86 0 0 21 Jan 2025
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers Ashish Parmanand Pandey Alan John Varghese Sarang Patil Mengjia Xu Mamba 90 0 0 15 Dec 2024
Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone Christophe Bonneville N. Bieberdorf Arun Hegde Mark Asta H. Najm Laurent Capolungo C. Safta AI4CE 26 2 0 24 Jun 2024
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs Mengjia Xu Apoorva Vikram Singh George Karniadakis AI4CE 42 9 0 28 Sep 2021
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu 169 1,877 0 02 Feb 2020